Integrating lidar and geophysical surveys at Falerii Novi and Falerii Veteres (Viterbo)

Papers of the British School at Rome ◽

10.1017/s0068246200000027 ◽

2009 ◽

Vol 77 ◽

pp. 1-27 ◽

Cited By ~ 1

Author(s):

Rachel Opitz

Keyword(s):

Sono State ◽

Light Detection And Ranging ◽

Light Detection ◽

Geophysical Surveys

La città romana di Falerii Novi e quella pre-romana di Falerii Veteres vengono riviste in questo articolo attraverso la combinazione di dati da ricognizione lidar (light detection and ranging) e geofisica. La ricognizione lidar fornisce per la prima volta infomiazioni dettagliate sui bordi topograficamente complessi di questi siti e ha permesso di identificare un certo numero di nuove strutture. Osservando tali strutture nel contesto dei dati topografici e geofisici, sono state esplorate le aree urbane periferiche sia come zone per movimento sia come facciate. Tramite questi esempi vengono considerati i potenziali contributi forniti dal lidar alla comprensione generale dell'urbanismo pre-romano e romano.

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Apports des prospections non destructives a la connaissance du quartier artisanal antique de l'Essarte, Epomanduodurum, commune de Mathay, Doubs

10.31235/osf.io/6jeb5 ◽

2017 ◽

Author(s):

Rachel Opitz ◽

Clement Laplaige ◽

Catherine Fruchart ◽

Gilles Bossuet

Keyword(s):

Light Detection And Ranging ◽

Classical Period ◽

Light Detection ◽

Research Project ◽

Surface Features ◽

Additional Information ◽

Aerial Surveys ◽

Geophysical Surveys ◽

The Town ◽

Micro Topography

The Essarté workshop area, dating to the Classical period, is situated in the town of Mathay (Doubs). Excavated in the 1980s and 90s, it has been interpreted as an area specializing in ceramics production. This study of this area takes place in the context of an ongoing, broader project focused on the ancient town of Mandeure-Mathay (Epomanduodurum) and its surroundings, currently conducted within the framework of a PCR (collective research project). To undertake a more detailed study of the Essarté area fieldwalking surveys were carried out in 2006 and a synthesis of previous excavations, based on the available documentation, was completed in 2009. Geophysical surveys were conducted in 2009 and 2010. In addition, a LiDAR survey of Mandeure-Mathay and its surroundings realized in 2009 included the Essarté area. This paper contextualizes the data provided by excavations and aerial surveys carried in the 1980s and 90s by integrating it with the data obtained through the magnetometry survey – providing additional information on sub-surface features - and the data obtained through fieldwalking and LiDAR (Light Detection And Ranging) surveys - used to characterize the micro-topography of the terrain surface and associated materials in detail. This new study, in addition to adding details to the existing picture of the Essarté area, demonstrates that this locale was used as a burial area prior to the Roman phase of the site

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Wireless Sensor material Fusion based Single photon indium phosphide on silicon chip for frequency-modulated continuous-wave light detection and ranging

Journal of Physics Conference Series ◽

10.1088/1742-6596/1804/1/012184 ◽

2021 ◽

Vol 1804 (1) ◽

pp. 012184

Author(s):

R Selvakumar ◽

Ngangbam Phalguni Singh ◽

Shruti Suman

Keyword(s):

Indium Phosphide ◽

Continuous Wave ◽

Single Photon ◽

Light Detection And Ranging ◽

Wireless Sensor ◽

Light Detection ◽

Sensor Material ◽

Continuous Wave Light

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Using Airborne Light Detection and Ranging (LIDAR) to Characterize Forest Stand Condition on the Kenai Peninsula of Alaska

Western Journal of Applied Forestry ◽

10.1093/wjaf/24.2.95 ◽

2009 ◽

Vol 24 (2) ◽

pp. 95-102 ◽

Cited By ~ 13

Author(s):

Hans-Erik Andersen

Keyword(s):

Forest Inventory ◽

Laser Scanning ◽

Three Dimensional ◽

Grid Cell ◽

Forest Stand ◽

Light Detection And Ranging ◽

Inventory Analysis ◽

Light Detection ◽

Individual Tree ◽

Kenai Peninsula

Abstract Airborne laser scanning (also known as light detection and ranging or LIDAR) data were used to estimate three fundamental forest stand condition classes (forest stand size, land cover type, and canopy closure) at 32 Forest Inventory Analysis (FIA) plots distributed over the Kenai Peninsula of Alaska. Individual tree crown segment attributes (height, area, and species type) were derived from the three-dimensional LIDAR point cloud, LIDAR-based canopy height models, and LIDAR return intensity information. The LIDAR-based crown segment and canopy cover information was then used to estimate condition classes at each 10-m grid cell on a 300 × 300-m area surrounding each FIA plot. A quantitative comparison of the LIDAR- and field-based condition classifications at the subplot centers indicates that LIDAR has potential as a useful sampling tool in an operational forest inventory program.

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